Owns Salesforce Data 360 engagements from pre-sales through implementation and continuous improvement. Designs data models, integrations, identity resolution, segmentation, activation, and unified customer profiles. Advises executives and technical teams, leads discovery and solution architecture, supports demos and scoping, maps source systems, defines data contracts, and either implements solutions or directs delivery teams. The role also manages platform roadmaps, upgrades, cost optimization, compliance, and cross-functional collaboration.
Citrin Cooperman offers a dynamic work environment, fostering professional growth and collaboration. We’re continuously seeking talented individuals who bring fresh perspectives, a problem-solving mindset, and sharp technical expertise. We know you have choices, so our team of collaborative, innovative professionals are at the ready to support your professional development. At Citrin Cooperman, we offer competitive compensation and benefits and most importantly, the flexibility to manage your personal and professional life to focus on what matters most to you!
As a Data 360 Architect, you will own the full lifecycle of Salesforce Data 360 engagements from pre-sales through go-live and beyond. You will serve as the technical authority on Data 360 for both our clients and internal delivery teams, translating complex data unification and activation challenges into actionable architectures built on Salesforce Data 360.
You'll work directly with client executives and subject matter experts to understand their data ecosystems, map integration points across their technology landscape, and design solutions that bring disparate data sources together into a unified customer profile.This role splits time between pre-sales and delivery, and requires someone equally comfortable white-boarding a data strategy with executives as they are building and troubleshooting the implementation.
- Lead pre-sales conversations with current and prospective clients, demonstrating the business value of Salesforce Data 360 and articulating how it fits within their existing data ecosystem
- Serve as a trusted advisor to clients on data strategy, helping them understand how Data 360 compares to and complements other platforms in their stack (CDPs, data warehouses, analytics tools)
- Own the end-to-end technical architecture for Data 360 implementations, including data model design, Data Streams, Identity Resolution, Calculated Insights, Segmentation, Activation targets, and more
- Lead the evaluation and design of integration approaches, including Data 360 connectors (MuleSoft, Ingestion API, Interaction SDK), Zero Copy Partner integrations (Snowflake, Databricks, Google BigQuery), and custom integration patterns
- Evangelize data strategy among stakeholders such as business users and various data teams through design, documentation, review and cross team negotiations to support strategic business and technology goals
- Map client source systems and work with their technical teams to define data contracts, transformation logic, and ingestion strategies for bringing data into Data 360
- Either implement solutions hands-on or lead a delivery team through implementation, ensuring architectural standards are met and the solution aligns with the agreed-upon design
- Own and implement technical roadmap for continuous improvement of data platform, including tech stack upgrade, cost optimization and compliance requirements
- Deep hands-on experience with Salesforce Data 360, including data modeling, Data Streams, Identity Resolution, Segmentation, Calculated Insights, and Activation
- Strong understanding of Data 360's integration ecosystem: native connectors, Ingestion API, Interaction SDK, MuleSoft integration patterns, and Zero Copy Partner Network
- Demonstrated ability to map complex, multi-system data landscapes and design integration architectures that bring data into Data 360 from diverse sources
- Excellent communication and presentation skills with the ability to engage credibly with executives as well as technical SMEs
- Proven experience leading discovery sessions, gathering requirements, and translating business needs into technical solutions
- Ability to lead pre-sales efforts alongside the sales team including solution demos, architectural presentations, and scoping exercises
- Ability to thrive in a fast-paced consulting environment with shifting priorities and multiple concurrent workstreams
- Strong attention to detail and commitment to quality in both documentation and implementation
- Passion for technology with a track record of staying current on emerging platforms and approaches
- Ability to manage priorities between pre-sales and delivery as time may be split
- Experience working with cloud providers, both on the IAAS side (AWS, Azure, GCP), and in the data and analytics space (Snowflake, etc)
- Experience collaborating across cross-functional delivery teams
Preferred Qualifications
- Experience with customer data platforms (CDPs) and the ability to articulate Data 360's differentiation
- Experience designing solutions with unstructured data sources, including familiarity with Retrieval-Augmented Generation (RAG) patterns to drive richer insights and activation within the Salesforce ecosystem
- Familiarity with data visualization and analytics tools (Tableau, CRM Analytics, Power BI, etc.)
- Experience with Salesforce Marketing Cloud and its relationship to Data 360 for audience segmentation and activation
- Additional Salesforce certifications (Platform Developer I/II, Application Architect, Integration Architect, Marketing Cloud Consultant, etc.)
- Consulting or professional services background with experience in SOW development, estimation, and client relationship management
- Experience leading or mentoring technical teams in a delivery setting
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